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View Code? Open in Web Editor NEW:health_worker: An Arabic Healthcare Conversational Agent | University Project
:health_worker: An Arabic Healthcare Conversational Agent | University Project
Scour the internet looking for Arabic data sources for our application. Your data might be medical blogs where we have to scrap the data out of it, readily-available Kaggle-style structured data, or dialog data.
Read about ML chatbot models and understand their input data shape, so you have a better idea of what to look for.
You will have to justify your data sources of choice through your understanding of what typical ML chatbot models consume.
Research enterprise and non-commercial/open-source healthcare chatbots. You need to:
It's useful to look at enterprise solutions here, but you need to focus more on non-commercial/open-source projects, as they are the ones who make their findings available to the public.
Use papers, online code repos, and blogs as your resources. And come back with multiple examples.
Setup in 69c06d3
For this ticket, you have to understand how chatbots work by examining state-of-the-art deep learning solutions. You should study their model architecture of choice, see how it can be employed in our use case, and look for readily available implementations of said models.
You will have to choose an architecture that you fluently understand the ins and outs of it, and propose an available implementation or a way to implement it on our own.
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